Syllabus Of Python
Syllabus Of Python
The syllabus of python typically covers the basics of programming such as data types, control flow, functions, and file handling. It also includes topics such as object-oriented programming, data structures, and important libraries such as NumPy and Pandas. Other key concepts may include web scraping, database management, and GUI development. The syllabus may vary depending on the level and purpose of the course, but it generally aims to provide a comprehensive understanding of the fundamental principles and techniques of python programming.
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- Introduction to Python: This section will cover the basics of Python programming language such as data types, variables, functions, and control structures. It will also introduce students to the concept of object-oriented programming.
- Data Structures and Algorithms: This section will focus on various data structures such as lists, dictionaries, and tuples, and how to manipulate them in Python. Students will also learn about basic algorithms such as searching and sorting.
- Web Development with Python: This section will cover the basics of web development using Python, including the use of frameworks like Django and Flask. Students will also learn how to work with databases and create dynamic web applications.
- Data Analysis and Visualization: In this section, students will learn how to use Python libraries like Pandas and Matplotlib to analyze and visualize data. They will also learn how to work with common data formats such as CSV and JSON.
- Machine Learning with Python: Students will be introduced to the field of machine learning and how Python is used for tasks such as data preprocessing, model training, and evaluation. They will also learn about popular machine learning libraries like Scikit-learn and TensorFlow.
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